Computer Vision and Machine Learning Platform Engineer(Pre-Silicon)- 124962

December 4 2021
Categories Computer Engineering, Software Engineering, Data analyst, BI, Mining, AI, Education, Library, Engineering, ERP, Packaged Software, SaaS, HR, Training, Information Technology, Internet, Web, E-Commerce
Markham, ON



What you do at AMD changes everything

At AMD, we push the boundaries of what is possible. We believe in changing the world for the better by driving innovation in high-performance computing, graphics, and visualization technologies – building blocks for gaming, immersive platforms, and the data center.

Developing great technology takes more than talent: it takes amazing people who understand collaboration, respect, and who will go the “extra mile” to achieve unthinkable results. It takes people who have the passion and desire to disrupt the status quo, push boundaries, deliver innovation, and change the world. If you have this type of passion, we invite you to take a look at the opportunities available to come join our team.

Computer Vision and Machine Learning Platform Engineer(Pre-Silicon)

The Role:

  • In this role you will participate in Pre-Silicon SW development of end-to-end machine learning-based solutions for camera and computer vision applications running on AMD Edge platforms
  • Work with engineering teams cross technical functions, geographical regions and time zones, involving various facets of computer vision machine learning product
  • Work closely with HW and SW teams and get your hands on a broad range of activities from solution design, software development, to optimization and deployment for Edge platforms
  • Work closely with Pre-silicon teams (simulation, emulation, etc.) to bring-up SW stack on platform.
  • Work closely with architecture teams to provide timely feedback and direction on various architectural design decisions
  • Measure, analyze, and optimize power and performance for both application and system software/hardware stack
  • Determine and implement unit testing and system level testing strategies

The Person:

  • Proven experience with software engineering and C, C++ programming
  • Experience with Machine Learning/Deep Learning frameworks like Tensorflow, Pytorch
  • Experience with Pre-Silicon SW development. Experience with ASIC design process preferred.
  • Good understanding of deep learning concepts like CNN, RNN/LSTMs
  • Strong background in computer vision, computer system architecture, and algorithm design
  • Effective communication skills, strong collaboration to join a global organization working cross geographical regions and time zones

Preferred Experience:

  • Experience with end-to-end software application development flow – from design to development to integration and testing
  • Experience in developing computer vision algorithms using OpenCV and/or Deep Learning approaches
  • Experience with system software (driver/OS level) on Android/Linux/Windows environment
  • Experience of profiling and optimization techniques for software and system stacks
  • Validated debugging and analysis skills, for root causing sophisticated issues at both application and system level
  • Experience with GPGPU compute like OpenCL, DirectX Compute
  • Experience with camera architecture, camera APIs and other camera algorithms
  • Experience in development of any of the deep learning compiler frameworks like TVM, Glow or XLA; or other LLVM-based compilers

Academic Credentials:

BS/MS degree in Computer Science, Electrical/Computer Engineering, or Applied Math

Location:

Markham, ON

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Requisition Number: 124962
Country: Canada Province: Ontario City: Markham
Job Function:Design

AMD is an inclusive employer dedicated to building a diverse workforce. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective provincial human rights codes throughout all stages of the recruitment and selection process. Any applicant who requires accommodation should contact AskHR@amd.com.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services.

Apply now!

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